AML compliance automation · engineering partner
AML compliance automation software,
engineered as a system you own.
TrustChange builds AML compliance automation software for EU-facing fintechs, PSPs, EMIs, neobanks, licensed VASPs and banks. We engineer the rules and screening engine, the analytics and scoring pipelines, the case workflow and the audit-ready reporting as bespoke code under your brand — not a SaaS licence with a per-case fee. You get an automated AML compliance platform your MLRO can defend, your analysts can run and your supervisor can read.
- EU-based engineers
- MiCA-ready records
- PSD2-aware fields
- Tamper-evident audit log
- GDPR-aware storage
What "automation" means here
Automated AML compliance without a packaged SaaS
Most searches for AML compliance automation surface multi-tenant SaaS with a fixed case model and a per-case fee. We work the other way. TrustChange is a bespoke AML compliance automation software partner: your typed cases, your rules, your analytics, your evidence, your code. What you buy is engineering — every rule version and every score stays on your platform, not on someone else's.
Deciding whether to build, wrap or replace an incumbent? Start with CTO advisory. The wider practice sits on compliance engineering, and analyst-side tooling on AML case management software development.
Subsystems
Three subsystems inside every AML compliance automation build
An automation platform is not one service. It is rules and screening, analytics and scoring, and a case workflow that agrees on every decision. We build the three together, on one plan, with one team accountable end to end.
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01
Rules & screening automation
Sanctions, PEP, adverse-media and wallet-risk checks wired into onboarding and transactions — verdicts attach to the case as immutable evidence.
- Sanctions & PEP checks
- Wallet-risk screening
- Rule version pinning
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02
Analytics & scoring
Analytics in AML compliance that scores customers and transactions on your policy — with a dashboarded auto-vs-review split so the split is tunable, not opaque.
- Customer risk scoring
- Behaviour analytics
- Auto-vs-review split
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03
Case & evidence workflow
The analyst surface: aged queues, four-eyes gates, resolution codes, tamper-evident logs and exports shaped for supervisor requests.
- Aged queues by SLA
- Four-eyes on overrides
- Reviewer-shaped exports
Stack
What sits behind AML compliance analytics and automation
Eight layers, one system. Every layer names an owner, a control and a piece of audit evidence — nothing is left implied under the "analytics" label.
Delivery patterns and evidence: how we deliver. Wider platform view: fintech infrastructure. Security-side sibling: crypto & fintech security engineering.
| Layer | What we build |
|---|---|
| Case model | Typed cases across KYC/KYB, transaction monitoring, sanctions, adverse-media and PEP review One typed schema per case class, versioned in your repository. |
| Automation engine | Rule-based auto-close and auto-route under policy — with a review flag for anything ambiguous Automated AML compliance never runs over an analyst's head on money-moving actions. |
| Analytics | Feature store, scoring pipelines, alert thresholds and monitoring dashboards Analytics in AML compliance is only useful when the score's reason is stored with the decision. |
| Integrations | Adapters into KYC, sanctions, wallet-risk, adverse-media, ledger and CRM Vendor verdicts land as immutable evidence on the case. |
| Analyst UI | Web console with role-based access, saved views, keyboard-first case work, bulk actions Every override is who / what / why / when, retained per your policy. |
| Reporting | Close packs, MLRO dashboards, SAR-ready case bundles and warehouse loads One source of truth; regulator-shaped exports out of the same store. |
| Controls & access | SSO, role-based access, four-eyes on manual overrides, tamper-evident logs GDPR-aware storage, EU-hosted by default, retention rules per case class. |
| Runtime & delivery | EU-hosted, CI/CD pipelines, observability, 24/7 on-call cover Your identity provider, your data regions, your access rules. |
Decision path
From intake to a defensible decision
Every case in automated AML compliance goes through the same gates before a decision is written. Speed comes from tuning the rules and models, not from skipping a step or trusting a single verdict.
- 01
Intake
Real time
An onboarding, a transaction or a periodic review opens a case; source id, rule version and timestamp are stored.
- 02
Screen
Sub-second
Sanctions, PEP, adverse-media and wallet-risk vendors return verdicts; each becomes an immutable evidence row on the case.
- 03
Score
Sub-second
Analytics score the customer / transaction on your policy; the reason (features, thresholds, rule version) is stored with the score.
- 04
Automate
Rule-driven
Auto-close or auto-route runs where policy is clear; ambiguous cases open with a review flag and the full evidence bundle.
- 05
Review
SLA-bound
Analyst reads evidence, adds notes, decides. Four-eyes gate applies above defined thresholds and on any money-moving action.
- 06
Report
Daily / on-demand
Close pack, MLRO dashboard and SAR-ready bundles publish to compliance, ops and finance.
Delivery
How we deliver AML compliance automation software
Five steps, in this order. Regulated compliance work runs inside the product backlog — no separate compliance phase bolted on before launch, no big-bang release of an untested automation engine.
- 01
Scoping
Weeks 1–2
We map case classes, current vendors, MLRO expectations, licence context and reporting shapes. Output: a scope, a control map and a costed plan.
- 02
Architecture
Weeks 3–4
Case model, rules engine, scoring pipelines, integration contracts and export schemas written down first. Supervisor requirements shape the design.
- 03
Build
Two-week sprints
Rules, analytics, console and reporting ship in slices. Each merge runs tests, static checks and a dependency scan.
- 04
Hardening
Before cut-over
Replay against historical cases, load work, failure drills and a third-party review window. Cut-over is rehearsed with your ops team, not assumed.
- 05
Launch and run
Cut-over + ongoing
Named engineers on 24/7 cover. Runbooks, dashboards and the audit bundle handed to your team on day one, with a documented on-call rota.
Engagement
Four ways to buy your AML automation platform build
Same engineers, same standard. Only the commercial shape changes.
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Fixed-scope build
A defined automation and analytics engine at a fixed price and date. Best when case classes and vendors are settled.
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Dedicated team
A standing squad with a lead. Best for long roadmaps and new rules or models each quarter.
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Staff augmentation
Senior engineers inside your team. Best when you already own the plan and need AML depth.
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CTO advisory
Architecture and buy-vs-build review before you commit. Best at the design stage.
Questions
FAQ: AML compliance automation software
Six answers up front on scope, off-the-shelf trade-offs, honest automation limits, analytics, compliance and support. Bring the rest to the call.
What does AML compliance automation software from TrustChange actually cover?
We engineer a bespoke, client-owned AML compliance automation software platform: the rules and screening engine, the analytics and scoring pipelines, the case and evidence workflow, adapters into your KYC / sanctions / wallet-risk / adverse-media vendors, and the reporting your MLRO owes their supervisor. It ships as source code in your repositories, with the IP assigned to you. There is no per-case fee, no shared multi-tenant backend and no vendor gate.
How is your build different from an off-the-shelf AML platform?
Off-the-shelf platforms bundle a fixed model and hide the rules behind a licence. TrustChange shapes cases, rules, thresholds and analytics against your actual operating model — your products, the vendors you already use, and the exact reports your supervisor expects. A bespoke build takes longer up front, but you keep every rule version, every model artefact and every override — and you avoid the roadmap lock-in that comes with a packaged tool.
How much automation is realistic in automated AML compliance, honestly?
Only your policy can answer that — TrustChange does not publish a headline auto-close percentage, because it depends on how tightly your policy defines the safe cases (repeated benign hits, low-risk customer segments, sub-threshold transactions). We ship the automation engine and the scoring pipelines; you configure the policy; the console shows the auto-vs-review split every day so it is tunable against your actual risk appetite, not opaque.
What does analytics in AML compliance look like in a TrustChange build?
AML compliance analytics run as production components with an evaluation harness — customer risk scoring, transaction behaviour analytics, threshold optimisation and vendor-score fusion, each with the features, thresholds and rule version stored with every decision. Human-in-the-loop is the default for anything money-moving or customer-impacting; every model output is logged, and PII handling is bounded by GDPR-aware retention. Analytics is not a mystery layer over the case log.
How are AML, Travel Rule, MiCA, PSD2 and GDPR engineered into the platform?
TrustChange is an engineering partner, not a law firm — your MLRO and compliance team set the policy, we ship the controls and the evidence. That means typed KYC/KYB and monitoring case classes, sanctions and PEP screening as first-class evidence, Travel Rule data on crypto legs, PSD2-aware fields on card and open-banking flows, MiCA-aware records on digital-asset activity, and GDPR-aware storage with retention rules per case class. Nothing about licences, opinions or supervisor approvals is claimed on your behalf.
Do you also run the AML platform after launch, or hand it over?
Both are on the table. Most clients start with named TrustChange engineers on 24/7 cover during the first months while their own team ramps up, then take the platform in-house with runbooks, dashboards and an on-call handover we author together. Some keep us on as a dedicated development team or on staff augmentation for new-rule, integration or analytics work.
Book a discovery call for AML compliance automation software
Bring the case classes, the current vendors, the reporting shapes and where the pain sits — aged queues, false positives, missed SLAs or a stuck SAR export. We come back with a control map, an architecture view and a costed plan. No demo theatre.